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Operations and Supply Chain Management The Core

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STRATEGY AND SUSTAINABILITY chapter 2 35

Risk Mitigation Strategies exhibit 2.3

RISKS

Natural disaster (e.g., climate change, weather)

Country risks

Supplier failures

Network provider failure

Regulatory risk (e.g., licensing and regulation issues)

Commodity price risks

Logistics failure

Inventory risks

Major quality failure

Loss of customers

Theft and vandalism

RISK MITIGATION STRATEGY

Contingency planning (alternate sites, etc.), insurance

Currency hedging, locally producing/sourcing

Multiple suppliers

Support of redundant digital networks

Up-front and continuing research; good legal advice, compliance

Multisourcing, commodity hedging

Safety stock, detailed tracking, and alternate suppliers

Pool inventory, safety stock

Careful selection and monitoring of suppliers

Service/product innovation

Insurance, security precautions, knowledge of likely risks, patent

protection, etc.

Natural/

human-made

disasters

Country

risks

Supplier

failure

Network

provider

failure

Regulatory

risk

Commodity

price risks

Logistics

failure

Inventory

risks

Quality

risks

Outsourcing

Sole sourcing

Lean

practices

Distribution

hubs

High

impact

Moderate

impact

No

impact

Productivity is what we call a relative measure. In other words, to be meaningful, it

needs to be compared with something else. For example, what can we learn from the fact

that we operate a restaurant and that its productivity last week was 8.4 customers per labor

hour? Nothing!

Productivity comparisons can be made in two ways. First, a company can compare itself

with similar operations within its industry, or it can use industry data when such data are

available (e.g., comparing productivity among the different stores in a franchise). Another

approach is to measure productivity over time within the same operation. Here we would

compare our productivity in one time period with that in the next.

As Exhibit 2.4 shows, productivity may be expressed as partial measures, multifactor

measures, or total measures. If we are concerned with the ratio of some output to a single

input, we have a partial productivity measure. If we want to look at the ratio of some output

to a group of inputs (but not all inputs), we have a multifactor productivity measure. If

we want to express the ratio of all outputs to all inputs, we can use a total factor measure of

productivity to describe the productivity of an entire organization or even a nation.

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